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NNMoMo (version 0.1.0)

Neural Network Extension to 'StMoMo' for Lee-Carter Modeling

Description

Provides extensions to the 'StMoMo' package by incorporating neural network functionality for Lee-Carter and Poisson Lee-Carter mortality models. Includes tools for constructing mortality datasets from 'demogdata' objects and fitting neural network-based mortality models. Further analysis, such as plotting and forecasting, can be done with 'StMoMo' functions.

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Version

Install

install.packages('NNMoMo')

Monthly Downloads

183

Version

0.1.0

License

GPL-3

Maintainer

Daniel Herzog

Last Published

February 20th, 2026

Functions in NNMoMo (0.1.0)

NNMoMoData

Create NNMoMoData Object from Demogdata Object or HMD Datasets
logLik.fitNNMoMo

Log-Likelihood Method for Neural Network Mortality Models
NNMoMo_data_GBR

United Kingdom Dataset
print.NNMoMo

Print Method for NNMoMo Objects
fit.NNMoMo

Fit a Neural Network Lee-Carter Model
lcNN

Create a Lee-Carter Model with a Neural Network
print.fitStMoMo_list

Print Method for the Output of the Fitting Method
print.NNMoMoData

Print Method for NNMoMoData Objects
summary.NNMoMo

Summary Method for NNMoMo Objects
summary.fitStMoMo_list

Summary Method for the Output of the Fitting Method
summary.NNMoMoData

Summary Method for NNMoMoData Objects
residuals.fitNNMoMo

Compute Residuals for NNMoMo Fitted Models
NNMoMo_data_AUS

Australia Dataset
reexports

Objects exported from other packages
NNMoMo_data_JPN

Japan Dataset
NNMoMo_data_USA

USA Dataset
NNMoMo_data_CAN

Canada Dataset